SIAM-ASA Journal on Uncertainty Quantification
Published by Society for Industrial and Applied Mathematics
eISSN : 2166-2525
Abbreviation : SIAM-ASA J. Uncertain. Quantif.
Aims & Scope
SIAM/ASA Journal on Uncertainty Quantification (JUQ) publishes research articles presenting significant mathematical, statistical, algorithmic, and application advances in uncertainty quantification, defined as the interface of complex modeling of processes and data, especially characterizations of the uncertainties inherent in the use of such models.
The journal also focuses on related fields such as sensitivity analysis, model validation, model calibration, data assimilation, and code verification.
The journal also solicits papers describing new ideas that could lead to significant progress in methodology for uncertainty quantification as well as review articles on particular aspects.
The journal is dedicated to nurturing synergistic interactions between the mathematical, statistical, computational, and applications communities involved in uncertainty quantification and related areas.
JUQ is jointly offered by SIAM and the American Statistical Association.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 1.9 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.058 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 40 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 4413 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 415 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.